#blinkdb - Twitter Hashtag

almost 9 years ago

@taroleo @Lewuathe You can now use #VerdictDB (https://t.co/0YMi8gVhOa) in production on any databases, which overcomes the tight integration prob of #BlinkDB.

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Yongjoo Park @yongjoo_park

almost 9 years ago

@tdhopper You can now use #VerdictDB (https://t.co/0YMi8gVhOa) on any databases, which basically overcomes the tight integration problem of #BlinkDB.

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Bluesoft @bluesoftbr

about 9 years ago

Confira no #PapoReto de hoje, Carlos Baldove falando sobre o #BlinkDB: https://t.co/D9el2uzPjc

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Andreas Buckenhofer @ABuckenhofer

almost 10 years ago

Approximate Query Processing for faster response times #sql https://t.co/w3TjHWW63w via @highscal #oracle12c #presto #blinkdb

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Tony Chu @tonyhschu

over 10 years ago

Is #blinkdb still being actively worked on? cc: @sagrw

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Mona Jalal @MonaJalal_

almost 11 years ago · Wisconsin

Straggler mitigation in #BlinkDB

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Mona Jalal @MonaJalal_

almost 11 years ago · Wisconsin

#BlinkDB How do we deal with the case in which error estimations are erroneous themselves? @sagrw

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Mona Jalal @MonaJalal_

almost 11 years ago · Wisconsin

How does stratified sampling play out for nested queries? #BlinkDB @sagrw

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Data Engineering @InsightDataEng

almost 11 years ago

Happy to feature #BlinkDB from @AmpLab @MIT_CSAIL on The New Data Engineering Ecosystem: Trends and Rising Stars https://t.co/QUoeIaA7zZ

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Adam Mollenkopf

@amollenkopf

over 11 years ago

#BlinkDB is an awesome compliment to #SparkSQL, adding approximate results via incremental sampling #sparksummit

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priya joseph

@ayirpelle

over 11 years ago

@peteskomoroch @treycausey @seanjtaylor No one does MR anymore; sparksql, approximate query #blinkdb ; sql across (un)structured here 2 stay

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everystack @everystack

over 11 years ago

#blinkdb: BlinkDB: Sub-Second Approximate Queries on Very Large Data http://t.co/OklsVfNHTK #Scala

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sweetweet213 @sweetweet213

over 11 years ago

Blink db : http://t.co/HboDhvGa8b Queries with Bounded Errors and Bounded Response Times #blinkdb

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Dr. Vijay Srinivas A @a_vijaysrinivas

over 11 years ago

Why #bigdata needs approximate computing: http://t.co/urH3kgnBHP Best exemplified in the #BlinkDB system from @amplab.

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Jan Hentschel @Horizon_Net

over 11 years ago

Vote for #BlinkDB at @hadoopsummit https://t.co/UQ5w1Ptavx

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stFOnline @steFun_

about 12 years ago

Today, consider Blinkdb #blinkdb #bigdata http://t.co/elb8xOJ25E

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ÐR. VISΞNGΞRIYΞVΛ @visenger

about 12 years ago

http://t.co/3WM36Al4LR #BlinkDB is a massively parallel, approximate #query engine

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Subash D'Souza @sawjd22

over 12 years ago

#hadoopsummit projects built on #spark - #shark, #graphx, #blinkdb

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Mohamed Elsherif

@Bashmohandes

over 12 years ago · San Jose

Very excited about #BlinkDB #hadoopsummit

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Anmol Rajpurohit @hey_anmol

over 12 years ago

Power of #BlinkDB : Answers complicated queries in about 2-3 secs #hadoopsummit

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